Stage
[Stage ] Real-time human joints kinematics estimation in sports applications using a stereo camera and deep learning
Date de publication
22.10.24
Prise de poste souhaitée
15.02.25
The general objective of this internship is to develop and validate a new framework for the real-time determination of human pose performing sport, rehabilitation and industrial tasks. The proposed method will be based on several deep learning trained models, a constrained biomechanical model of the human, and a(several) low-cost RGB-camera(s).
The internship will open opportunities to pursue a PhD in robotics/biomechanics within the GEPETTO team at LAAS-CNRS.
The details of the offer can be found here: